A ocorrência de elevados índices de perdas por vazamentos em sistemas de abastecimento de água é frequentemente ligada às inúmeras quebras de tubulações originadas em decorrência de elevados níveis de pressão atuantes. O controle efetivo de tais perdas requer a detecção e localização dos vazamentos para uma rápida reparação do sistema. Neste sentido, a consideração de análises hidráulicas no escoamento transitório tem se revelado especialmente útil aos propósitos de calibração e detecção de vazamentos. Tal análise pode revelar substancial quantidade de informações sobre as propriedades físicas e o nível de integridade do sistema, pois as ondas de pressão resultantes são afetadas pelos diversos dispositivos e fenômenos, incluindo os vazamentos. Assim, o presente trabalho visa o estudo dos transitórios hidráulicos para a calibração e detecção de vazamentos em modelos de sistemas de distribuição de água. Para tanto, são utilizados dados de redes hipotéticas e de laboratório, e modelos inversos resolvidos por métodos de busca global e local. Devido o emprego de tubos plásticos no circuito de laboratório, o clássico modelo da coluna elástica demonstrou-se ineficiente na reprodução do comportamento hidráulico de tal sistema. Resultados satisfatórios foram obtidos somente com um modelo hidráulico que considere o comportamento viscoelástico dos materiais dos tubos do circuito experimental. / The occurrence of large leakage losses in water supply systems has been frequently linked with pipe breaks resulting from high pressures levels in pipes. Efficient location of leakages is required in order to effectively control water losses and quickly repair the system. Analysis of hydraulic transients has been particularly useful for calibration and leak detection purposes. System observation for such analysis can reveal a substantial amount of information concerning physical properties and the integrity of the system, since water hammer waves are affected by different features and phenomena, including leaks. Thus, this research focuses on hydraulic transients for leak detection and calibration of water distribution system models. These objectives are achieved using data obtained from experiments performed on an experimental facility and numerical experiments on hypothetical networks. Inverse methods were based on both global and local search methods. Classic water hammer theory proved to be imprecise in describing the observed behavior of the hydraulic system composed of plastic pipes. Satisfactorily results were obtained with a hydraulic transient solver considering viscoelastic behavior of the pipe material.

O presente trabalho tem como objetivo principal o desenvolvimento de um sistema de identificação do surgimento de vazamentos (rupturas) em dutos, através da análise do sinal de sensores de pressão de resposta rápida (frequência de corte superior a 1 kHz). O reconhecimento do sinal de vazamento se realiza através de uma rede neural artificial feed-foward do tipo Perceptron Multi Camadas, previamente treinada. Neste trabalho, a implementação para tal operação foi feita off-line, mas devido ao baixo custo computacional pode ser facilmente implementada em eletrônica embarcada, em tempo real (on-line). Os resultados experimentais foram obtidos no oleoduto piloto do NETeF - Núcleo de Engenharia Térmica e Fluidos da USP - Universidade de São Paulo, com uma seção de testes com 1500 metros e diâmetro de 51,2 mm. Especificamente, os resultados foram obtidos com escoamento monofásico de água. Os resultados mostram-se promissores, visto que o sistema de redes neurais artificiais foi capaz de discriminar 2 universos linearmente separáveis, para sinais de vazamento e de não vazamento, para diversas vazões e localizações de vazamentos simulados. / The present dissertation deals with the development of a system to identify abrupt leaks (ruptures) in pipelines, by analyzing the signal of fast response pressure sensors (cutoff frequency over then 1kHz). The recognition of the leak signal is established by an artificial neural network feed-forward Perceptron Multi Layer, previously trained. In the present work the implementation was performed off-line, but due to low computational costs, the neural network can be easily implemented in real time embedded electronics (online). The experimental results were obtained in a 1500 meter-long and 51.2 millimeter-diameter pilot pipeline at the Center of Thermal Engineering and Fluids. Specifically, the results were obtained with single-phase flow of water. The results have proven to be promising, as the trained neural network was capable of classifying the 2 types of signals into 2 linearly separable regions, for leakage signals and no leakage signals, for various flow rates and locations of simulated leaks.

This research used an Integrated Water Resource Management approach to investigate how Water Demand Management (WDM) measures at government, utility and end-user levels could contribute to providing sustainable water supply to Bahrain, which is in an arid to semiarid region. The main driver for this research was the supply-driven orientation favoured by policy makers and practitioners in Bahrain with little consideration for demand management. This leads to a high estimated gross per capita consumption 525 l/c/d as of 2010. There was also a need to investigate the institutional environment for managing water resources and delivering sustainable water supply to Bahrain. The research adopted a case study methodology which included qualitative analysis of interviews and documents from the water authority, and quantitative analysis of questionnaire surveys and pilot studies. The research adopted a cross-sectional approach to the analysis of activities associated with WDM practice in Bahrain. All findings and conclusions were evaluated/validated using surveys distributed to water experts and customers. Based on their feedback, findings and conclusions were revised. The main finding of this research was that the tariff is highly subsidized by the government and there is no encouragement for water savings. The low tariff leads to low revenue which in turn affects the budget allocated to the relevant departments and units at the Electricity and Water Authority (EWA). This impacts negatively on their activities. It was found that there is no effective strategy for integrated water resources management; there is a high level of Non Revenue Water (NRW) (38%); and limited reuse of grey water and water use saving devices. In addition there is a lack of public awareness and understanding of the benefits of WDM among all levels of society including professionals and water supply providers. The research concluded that improving water use efficiency in Bahrain should be a priority due to the current high water supply costs. There is a need for proper legislation that enforces the use of WDM; establishment of a national WDM committee with the Water Resources Directorate, and for water resource professionals to follow WDM oriented policies. The research proposed six areas to be further investigated to achieve more efficient use of water: (a) Water tariff reform to recover full water supply costs; (b) institutional reform through activating and enforcing Water Resources Council roles; (c) promoting public awareness about WDM and its benefits; (d) reducing non revenue water; (e) applying positive economic sliding scale incentives for customers who reduce their water consumption.

This diploma thesis deals with the study of leakage problems in industry and the use of Agilent weight detectors for its detection. Based on the studies conducted, a hardware and software solution has been proposed for connecting the measuring elements to a helium detector at a simple configurable station. Additionally, a C# application was created. This application allows the leak detector to be controlled and data collected from the detector and its surroundings. The created application was tested in a real environment. The conclusion of this work is devoted to the possibilities of using the created application.

abstract: Water is one of, if not the most valuable natural resource but extremely challenging to manage. According to old research in the field, many Water Distribution Systems (WDSs) around the world lose above 40 percent of clean water pumped into the distribution system because of unfortune leaks before the water gets anywhere from the fresh water resources. By reducing the amount of water leaked, distribution system managers can reduce the amount of money, resources, and energy wasted on finding and repairing the leaks, and then producing and pumping water, increase system reliability and more easily satisfy present and future needs of all consumers. But having access to this information pre-amatively and sufficiently can be complex and time taking. For large companies like SRP who are moving tonnes of water from various water bodies around phoenix area, it is even more crucial to efficiently locate and characterize the leaks. And phoenix being a busy city, it is not easy to go start digging everywhere, whenever a loss in pressure is reported at the destination. Keeping this in mind, non-invasive methods to geo-physically work on it needs attention. There is a lot of potential in this field of work to even help with environmental crisis as this helps in places where water theft is big and is conducted through leaks in the distribution system. Methods like Acoustic sensing and ground penetrating radars have shown good results, and the work done in this thesis helps us realise the limitations and extents to which they can be used in the phoenix are. The concrete pipes used by SRP are would not be able to generate enough acoustic signals to be affectively picked up by a hydrophone at the opening, so the GPR would be helpful in finding the initial location of the leak, as the water around the leak would make the sand wet and hence show a clear difference on the GPR. After that the frequency spectrum can be checked around that point which would show difference from another where we know a leak is not present. / Dissertation/Thesis / Masters Thesis Mechanical Engineering 2019

O transporte de fluidos e produtos petroquímicos através de malhas dutoviárias é uma opção extremamente difundida, tanto em aplicações industriais envolvendo longas distâncias quanto em sistemas de distribuição nos quais um determinado fluido deve ser entregue a um grande número de usuários ou processos. Em ambos os casos, para uma operação eficiente e segura da malha, é necessário um sistema de detecção de vazamentos, que detecta e avalia rapidamente a ocorrência de um vazamento, especialmente quando o fluido transportado for tóxico e/ou inflamável. Neste sentido, a análise hidráulica em escoamentos transitórios tem sido particularmente útil aos propósitos de detecção de vazamentos. Sistemas de observação para essa análise podem revelar uma quantidade substancial de informações relativas às propriedades físicas e o nível de integridade do sistema, pois as ondas de pressão resultantes são afetadas pelos diversos dispositivos e fenômenos, incluindo os vazamentos. Este trabalho apresenta a construção e validação de um modelo de simulação numérica adequado para uma nova técnica de detecção de vazamento, baseada na inspeção acústica ativa da tubulação, capaz de detectar vazamentos pré-existentes. Resultados numéricos foram comparados com os obtidos de ensaios experimentais realizados no oleoduto piloto do Laboratório de Escoamentos Multifásicos Industriais da Universidade de São Paulo, no campus de São Carlos - SP e de dados experimentais da literatura. Os resultados confirmam que o modelo numérico capta corretamente a física do fenômeno de propagação. Particularmente, uma boa concordância foi encontrada entre parâmetro de atenuação experimental e numérico, o que valida o modelo como um preditor on-line para ser usado em um sistema de detecção de vazamento. / The transportation of petrochemical products through pipelines is the most common option, both in industrial applications involving long distances as well as in distribution networks in which a product must be delivered to a number of processes or customers. Due to safety and environmental reasons, the operation of such pipelines must include an on-line Leak Detection System (LDS) which promptly detects and assesses the occurrence of a leak, particularly if the transported product is toxic or inflammable. Analysis of hydraulic transients has been particularly useful for leak detection purposes. System observation for such analysis can reveal a substantial amount of information concerning physical properties and the integrity of the system, since pressure waves are affected by different features and phenomena, including leaks. This work presents the construction and validation of a numerical model suited to the simulation of a new leak detection technique, based on active acoustic inspection of the pipeline, which is capable of detecting pre-existing leaks. Numerical results were compared to the ones obtained from experimental tests conducted at the pilot pipeline of the Industrial Multiphase Flow Laboratory at University of São Paulo in the campus of São Carlos - SP and experimental data from literature. Results confirm that the numerical model captures the correct physics of the propagation phenomena. Particularly, a good agreement was found between experimental and numerical attenuation parameter, which validates our model as an on-line predictor to be used in a LDS system.

A presente dissertação tem como objetivo principal estudar a propagação acústica em escoamentos monofásicos. Para tal, são analisados sinais transientes de pressão fornecidos por sensores instalados em posições conhecidas na linha de teste, através do estudo de técnicas de análise de sinais, a fim de investigar se as variações do conteúdo espectral dos sinais são influenciadas pela ocorrência de vazamentos no duto. A análise dos sinais foi realizada nos planos temporal, frequencial, tempo-frequência e estatístico. Os resultados experimentais foram obtidos no oleoduto piloto do NETeF - Núcleo de Engenharia Térmica e Fluidos da USP - Universidade de São Paulo, com uma seção de testes com 1500 metros e diâmetro de 51,2 mm, com escoamento monofásico de água. Os resultados obtidos através da análise tempo-frequência mostraram-se satisfatórios, sendo esta técnica capaz de identificar a composição espectral instantânea de um sinal, ou seja, foi eficiente na identificação de picos de amplitude da frequência ao longo do eixo temporal. Além disso, a análise probabilística, através do desvio-padrão do sinal também mostrou-se eficiente exibindo uma disparidade significativa entre os sinais com e sem vazamento. / The present dissertation reports on the study of the acoustic propagation in single-phase flow. It analyzes the transient signals provided by pressure sensors in known locations in the test line through the study of signal analysis techniques to investigate if the variations in spectral content of the signals are influenced by the occurrence of leaks in the pipe. The analysis of signals was performed in the time, frequency, time-frequency and statistical plans. The experimental results were obtained in a 1500 meter-long and 51.2 millimeter-diameter pilot pipeline at the Center of Thermal Engineering and Fluids, with single-phase flow of water. The results obtained by time-frequency analysis were satisfactory, allowing identifying the spectral composition of an instantaneous signal, i.e., the analysis was effective in identifying the frequency amplitude peaks along the time axis. Moreover, probabilistic analysis using the standard deviation of the signal was also efficient, displaying a significant disparity between the signals with and without leakage.

The Swedish industry uses large volumes of compressed air. The compressed air process isenergy intensive and creates large amounts of excess heat. It is therefore important to utilizethe excess heat, optimize the operation of the compressors and to have a regular maintenanceon the system. This thesis is a pre-study to make a compressed air system energy efficient andis done in collaboration with Ljunghäll AB. Ljunghäll AB is one of Northern Europe's leadingdie casting companies and are located in Södra Vi, Sweden. The purpose is to describe andmap the compressed air system in the old part of the facility in Södra Vi. The thesis will alsogive an explanation of how Ljunghäll AB can improve the compressed air system. Providethem suggestions for energy savings and lower the environmental impact of production. Theobjective of the thesis is to create an understanding of how improvements in the compressedair system can be done by studying the operation, compressor, pipe system and leak detecting.The economic aspects of the solutions together with the effect of noise and engine operationof the compressors have not been taken into consideration. To reach improvement measures avisit to the facility in Södra Vi was made, where measuring and mapping was executed andthen compared with earlier studies and literature. The conclusions of the thesis show thatLjunghäll AB has a good operation and control of the compressors, through the variable speeddrive and steering system. It also showed that the choice of the existing compressors are goodfor their compressed air usage. The study also resulted in the following suggestions for theenergy efficiency and lowering of the environmental impact of production at Ljunghäll AB’scompressed air system: Water heat recovery, replacement of old pipes, cover the leakage,regular maintenance of compressors and fittings, training in compressed air for workers,centralized compressor central and sectioning of the pipe system.

Made available in DSpace on 2014-12-17T14:08:36Z (GMT). No. of bitstreams: 1 RodrigoEFS_DISSERT.pdf: 3471454 bytes, checksum: 0d90f092b5f26fd304c7c8d8252178a4 (MD5) Previous issue date: 2009-12-22 / The transport of fluids through pipes is used in the oil industry, being the pipelines an important link in the logistics flow of fluids. However, the pipelines suffer deterioration in their walls caused by several factors which may cause loss of fluids to the environment, justifying the investment in techniques and methods of leak detection to minimize fluid loss and environmental damage. This work presents the development of a supervisory module in order to inform to the operator the leakage in the pipeline monitored in the shortest time possible, in order that the operator log procedure that entails the end of the leak. This module is a component of a system designed to detect leaks in oil pipelines using sonic technology, wavelets and neural networks. The plant used in the development and testing of the module presented here was the system of tanks of LAMP, and its LAN, as monitoring network. The proposal consists of, basically, two stages. Initially, assess the performance of the communication infrastructure of the supervisory module. Later, simulate leaks so that the DSP sends information to the supervisory performs the calculation of the location of leaks and indicate to which sensor the leak is closer, and using the system of tanks of LAMP, capture the pressure in the pipeline monitored by piezoresistive sensors, this information being processed by the DSP and sent to the supervisory to be presented to the user in real time / O transporte de fluidos atrav?s de tubula??es ? utilizado na ind?stria petrol?fera, sendo os dutos um elo importante na log?stica de escoamento de fluidos. Por?m, os dutos sofrem deteriora??o em suas paredes ocasionadas por diversos fatores o que pode provocar a perda de fluidos para o meio exterior, justificando o investimento em t?cnicas e m?todos de detec??o de vazamentos para minimizar a perda do fluido e os danos ambientais provocados. Este trabalho apresenta o desenvolvimento de um m?dulo de supervis?o para que seja informado ao operador a ocorr?ncia de vazamento no duto monitorado no menor tempo poss?vel, com o prop?sito que o operador efetue procedimentos que acarretem no fim do vazamento. Esse m?dulo ? um componente de um sistema que visa ? detec??o de vazamento em dutos petrol?feros utilizando tecnologia s?nica, wavelets e redes neurais. A planta utilizada no desenvolvimento e testes do m?dulo aqui apresentado, foi o sistema de tanques do Laborat?rio de Avalia??o de Medi??o em Petr?leo (LAMP), e a sua Local Area Network (LAN), como rede de supervis?o. A proposta consiste, basicamente, de duas etapas. Inicialmente, avaliar o desempenho da infraestrutura de comunica??o do m?dulo de supervis?o. Posteriormente, simular vazamentos para que o DSP (Digital Signal Processor) envie informa??es para o supervis?rio realizar o c?lculo da localiza??o dos vazamentos e indicar a qual sensor o vazamento ? mais pr?ximo, e usando o sistema de tanques do LAMP, capturar a press?o no duto monitorado atrav?s de sensores piezoresistivos, sendo essa informa??o processada pelo DSP e enviada ao supervis?rio para que seja apresentado ao usu?rio dados em tempo real

Made available in DSpace on 2014-12-17T14:55:48Z (GMT). No. of bitstreams: 1 RodrigoSM.pdf: 448753 bytes, checksum: 2007d56d8880a1b4d3b48c20466bce2c (MD5) Previous issue date: 2006-06-09 / Instituto Federal de Educa??o, Ci?ncia e Tecnologia do Rio Grande do Norte / This work consists in the use of techniques of signals processing and artificial neural networks to identify leaks in pipes with multiphase flow. In the traditional methods of leak detection exists a great difficulty to mount a profile, that is adjusted to the found in real conditions of the oil transport. These difficult conditions go since the unevenly soil that cause columns or vacuum throughout pipelines until the presence of multiphases like water, gas and oil; plus other components as sand, which use to produce discontinuous flow off and diverse variations. To attenuate these difficulties, the transform wavelet was used to map the signal pressure in different resolution plan allowing the extraction of descriptors that identify leaks patterns and with then to provide training for the neural network to learning of how to classify this pattern and report whenever this characterize leaks. During the tests were used transient and regime signals and pipelines with punctures with size variations from ?' to 1' of diameter to simulate leaks and between Upanema and Estreito B, of the UN-RNCE of the Petrobras, where it was possible to detect leaks. The results show that the proposed descriptors considered, based in statistical methods applied in domain transform, are sufficient to identify leaks patterns and make it possible to train the neural classifier to indicate the occurrence of pipeline leaks / Este trabalho consiste na utiliza??o de t?cnicas de processamento de sinais e redes neurais artificiais para identificar vazamentos em dutos com escoamento multif?sico. Nos m?todos tradicionais de detec??o, existe uma grande dificuldade em conseguir montar um perfil, que seja adequado aos encontrados em condi??es reais do transporte de ?leo. Estas dif?ceis condi??es v?o desde os desn?veis de terreno que causam colunas ou v?cuos ao longo dos dutos at? a presen?a de multifases como ?gua, g?s e ?leo, al?m de outros componentes como areia, que tendem a produzir escoamentos descont?nuos e varia??es diversas. Para vencer estas dificuldades, foi utilizada a transformada wavelet para mapear os sinais de press?o e vaz?o em diferentes planos de resolu??o, permitindo com isto a extra??o dos descritores que caracterizassem padr?es de vazamento e com os mesmos treinar uma rede neural para aprender a classificar estes padr?es e informar quando estes s?o um vazamento. Nos testes foram utilizados sinais de regime e transiente, em duto entre a unidade de Upanema e Estreito B, da UN-RNCE da Petrobras, onde foi poss?vel detectar vazamentos, com furos que variavam de ? a 1 de di?metro para simular os vazamentos. Os resultados obtidos mostram que os descritores propostos com base em medidas estat?sticas no dom?nio da transformada caracterizam os padr?es de vazamento e possibilitam o treinamento do classificador neural para indicar a ocorr?ncia ou n?o de vazamentos no duto